MACHINE LEARNING BASED HEALTHCARE MONITORING USING 6G TECHNOLOGY

نویسندگان

چکیده

6G is a potential correspondence innovation that will overwhelm the entire wellbeing business. It won't just rule area, yet additionally different regions. anticipated would transform numerous industries, including healthcare. The healthcare industry be entirely reliant on communication technologies and AI.Currently, time geography are most significant hurdles to health care, but eliminate these obstacles. sixth-generation (6G) network plans bring revolution in medical care area. offer brilliant (s-wellbeing) therapies permit productive patient remote observing, uncovering high capability of tele procedure, pestilence, pandemic. Besides, demonstrate game-changing for services industry. Considering this, we predict framework period innovation. Furthermore, new methodologies executed improve Quality Life (QoL). telesurgery, Epidemic, Pandemic examined.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Georeferencing Semi-Structured Place-Based Web Resources Using Machine Learning

In recent years, the shared content on the web has had significant growth. A great part of these information are publicly available in the form of semi-strunctured data. Moreover, a significant amount of these information are related to place. Such types of information refer to a location on the earth, however, they do not contain any explicit coordinates. In this research, we tried to georefer...

متن کامل

Adaptive Assessment Based on Machine Learning Technology

In the e-learning environment we use adaptive assessment based on machine learning technology called regression tree. In the paper we analyse the properties of the regression tree assessment.

متن کامل

Evaluation of remote sensing indicators in drought monitoring using machine learning algorithms (Case study: Marivan city)

Remote sensing indices are used to analyze the Spatio-temporal distribution of drought conditions and to identify the severity of drought. This study, using various drought indices generated from Madis and TRMM satellite data extracted from Google Earth Engine (GEE) platform. Drought conditions in Marivan city from February to November for the years 2001 to 2017 were analyzed based on spatial a...

متن کامل

Machine teaching: a machine learning approach to technology enhanced learning

Many applications of Technology Enhanced Learning are based on strong assumptions: Knowledge needs to be standardized, structured and most of all externalized into learning material that preferably is annotated with meta-data for efficient re-use. A vast body of valuable knowledge does not meet these assumptions, including informal knowledge such as experience and intuition that is key to many ...

متن کامل

Machine Learning Theory and Applications for Healthcare

Department of Electronics and Communication, University of Allahabad, Allahabad, India School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea Department of Computer Science and Engineering, School of Engineering and Computer Science, Oakland University, Rochester, MI, USA School of Electrical and Automatic Engineering, Chan...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Pharmaceutical Negative Results

سال: 2022

ISSN: ['0976-9234', '2229-7723']

DOI: https://doi.org/10.47750/pnr.2022.13.s09.061